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langchain/docs/extras/integrations/vectorstores/nucliadb.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# NucliaDB\n",
"\n",
"You can use a local NucliaDB instance or use [Nuclia Cloud](https://nuclia.cloud).\n",
"\n",
"When using a local instance, you need a Nuclia Understanding API key, so your texts are properly vectorized and indexed. You can get a key by creating a free account at [https://nuclia.cloud](https://nuclia.cloud), and then [create a NUA key](https://docs.nuclia.dev/docs/docs/using/understanding/intro)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"#!pip install nuclia"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Usage with nuclia.cloud"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "nuclia python package not found. Please install it with `pip install nuclia`.",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"File \u001b[0;32m~/dev/osprojects/langchain/libs/langchain/langchain/vectorstores/nucliadb.py:39\u001b[0m, in \u001b[0;36mNucliaDB.__init__\u001b[0;34m(self, knowledge_box, local, api_key, backend)\u001b[0m\n\u001b[1;32m 38\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m---> 39\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mnuclia\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msdk\u001b[39;00m \u001b[39mimport\u001b[39;00m NucliaAuth\n\u001b[1;32m 40\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mImportError\u001b[39;00m:\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'nuclia'",
"\nDuring handling of the above exception, another exception occurred:\n",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[1], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mlangchain\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mvectorstores\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mnucliadb\u001b[39;00m \u001b[39mimport\u001b[39;00m NucliaDB\n\u001b[1;32m 2\u001b[0m API_KEY \u001b[39m=\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mYOUR_API_KEY\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m----> 4\u001b[0m ndb \u001b[39m=\u001b[39m NucliaDB(knowledge_box\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mYOUR_KB_ID\u001b[39;49m\u001b[39m\"\u001b[39;49m, local\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m, api_key\u001b[39m=\u001b[39;49mAPI_KEY)\n",
"File \u001b[0;32m~/dev/osprojects/langchain/libs/langchain/langchain/vectorstores/nucliadb.py:41\u001b[0m, in \u001b[0;36mNucliaDB.__init__\u001b[0;34m(self, knowledge_box, local, api_key, backend)\u001b[0m\n\u001b[1;32m 39\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mnuclia\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msdk\u001b[39;00m \u001b[39mimport\u001b[39;00m NucliaAuth\n\u001b[1;32m 40\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mImportError\u001b[39;00m:\n\u001b[0;32m---> 41\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[1;32m 42\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mnuclia python package not found. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 43\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mPlease install it with `pip install nuclia`.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 44\u001b[0m )\n\u001b[1;32m 45\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_config[\u001b[39m\"\u001b[39m\u001b[39mLOCAL\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m local\n\u001b[1;32m 46\u001b[0m zone \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39menviron\u001b[39m.\u001b[39mget(\u001b[39m\"\u001b[39m\u001b[39mNUCLIA_ZONE\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39meurope-1\u001b[39m\u001b[39m\"\u001b[39m)\n",
"\u001b[0;31mValueError\u001b[0m: nuclia python package not found. Please install it with `pip install nuclia`."
]
}
],
"source": [
"from langchain.vectorstores.nucliadb import NucliaDB\n",
"API_KEY = \"YOUR_API_KEY\"\n",
"\n",
"ndb = NucliaDB(knowledge_box=\"YOUR_KB_ID\", local=False, api_key=API_KEY)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Usage with a local instance\n",
"\n",
"Note: By default `backend` is set to `http://localhost:8080`."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from langchain.vectorstores.nucliadb import NucliaDB\n",
"\n",
"ndb = NucliaDB(knowledge_box=\"YOUR_KB_ID\", local=True, backend=\"http://my-local-server\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Add and delete texts to your Knowledge Box"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ids = ndb.add_texts([\"This is a new test\", \"This is a second test\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"ndb.delete(ids=ids)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Search in your Knowledge Box"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"results = ndb.similarity_search(\"Who was inspired by Ada Lovelace?\")\n",
"print(res.page_content)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "langchain",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.5"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}